Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

International humanitarian aid is pivotal in the response to natural disasters suffered by low-and middle-income countries. While its allocation has been shown to be influenced by donors' foreign policy considerations, power relations within recipient countries have not been addressed. This...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

Using a new dataset for 41 German non-governmental organizations (NGOs), we analyze the allocation of NGO aid across recipient countries in a Tobit regression framework. By identifying for each NGO the degree of public refinancing, we address the largely unresolved issue of whether financial...

We investigate the importance of geo-strategic and commercial motives for the allocation of German aid to 138 countries over the 1973-2010 period. We find that geo-strategic and – less robustly – commercial motives matter. When we relate geo-strategic and commercial motives to the political...